Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction
NCT07108660 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 17800
Last updated 2025-08-15
Summary
Prospective, multi-center, cluster-randomized trial of a hospital Infection Preventionist (IP)-led quality improvement study to provide clinical teams with just-in-time clinical education and reinforcement of existing best practices recommendations based on the output of a possible Central Line Associated Blood Stream Infection (CLABSI) Machine Learning (ML) prediction model.
The objective is to determine whether providing this model to Infection Preventionists will decrease the CLABSI rates versus routine clinical practice.
Conditions
- Central Line Associated Blood Stream Infections (CLABSI)
Interventions
- BEHAVIORAL
-
Infection Preventionist Led Best Practices Reminders
Infection preventionists at each study hospital review a dashboard on a daily basis that contains predictions for the infection preventionist's hospital. If a patient is predicted to have a possible CLABSI by the ML model, the infection preventionist reviews the case and recommends next steps to the care team based on Providence's CLABSI prevention best-practices bundle, which include reviewing the line for necessity and recommending alternate IV access when appropriate. If line-removal isn't possible, the infection preventionist collaborates with the direct care team to ensure that the line maintenance best practices are observed, including maintaining a clean, dry and intact dressing and using daily chlorhexidine baths.
Sponsors & Collaborators
-
Providence Health & Services
collaborator OTHER -
Swedish Medical Center
lead OTHER
Principal Investigators
-
Chris Dale, MD, MPH · Swedish Medical Center
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-07-01
- Primary Completion
- 2025-11-30
- Completion
- 2027-12-31
Countries
- United States
Study Locations
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